PBFT variants with byzantine nodes.

<div><p>In the rapidly evolving healthcare landscape, adopting blockchain technology requires an optimal consensus mechanism to ensure security, efficiency, reliability, and scalability. This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantin...

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Main Author: Shamsudeen Sajna (22600978) (author)
Other Authors: Manu J. Pillai (22600981) (author), Ginu Rajan (7289693) (author)
Published: 2025
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author Shamsudeen Sajna (22600978)
author2 Manu J. Pillai (22600981)
Ginu Rajan (7289693)
author2_role author
author
author_facet Shamsudeen Sajna (22600978)
Manu J. Pillai (22600981)
Ginu Rajan (7289693)
author_role author
dc.creator.none.fl_str_mv Shamsudeen Sajna (22600978)
Manu J. Pillai (22600981)
Ginu Rajan (7289693)
dc.date.none.fl_str_mv 2025-11-11T18:32:47Z
dc.identifier.none.fl_str_mv 10.1371/journal.pone.0336039.g007
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/PBFT_variants_with_byzantine_nodes_/30592222
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biotechnology
Evolutionary Biology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
verifiable random functions
strong contender due
reliable node selection
preliminary evaluations indicate
optimal consensus mechanism
mitigates malicious behavior
enhancement strengthens trust
efficient blockchain implementations
consensus processes based
reputation integrated variant
beta reputation model
work ), pbft
pbft variant built
novel pbft variant
offering improved reliability
advancements position br
pbft )</ p
reputation metrics
xlink ">
suitable approach
scale environments
promising state
including pow
healthcare applications
fault tolerance
ensure security
eigentrust score
art solution
analyzed algorithms
dc.title.none.fl_str_mv PBFT variants with byzantine nodes.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <div><p>In the rapidly evolving healthcare landscape, adopting blockchain technology requires an optimal consensus mechanism to ensure security, efficiency, reliability, and scalability. This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. Among the analyzed algorithms, SBFT (Scalable Byzantine Fault Tolerance) emerges as a strong contender due to its fault tolerance and effectiveness in large-scale environments. Building on these insights, we introduce a light weight consensus BR-PBFT(Beta Reputation integreted PBFT), a novel PBFT variant that integrates a beta reputation scoring system and Verifiable random functions (VRF) for more reliable node selection. This enhancement strengthens trust in the network and mitigates malicious behavior by dynamically adjusting node selection and consensus processes based on reputation metrics. Preliminary evaluations indicate that our PBFT variant built on reputation significantly improves CPU consumption and memory efficiency, offering improved reliability, scalability, and performance. These advancements position BR-PBFT as a promising state-of-the-art solution for secure and efficient blockchain implementations in healthcare.</p></div>
eu_rights_str_mv openAccess
id Manara_63fb4e3a4acfc7d2d4cbb910dc9ee9f4
identifier_str_mv 10.1371/journal.pone.0336039.g007
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30592222
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling PBFT variants with byzantine nodes.Shamsudeen Sajna (22600978)Manu J. Pillai (22600981)Ginu Rajan (7289693)BiotechnologyEvolutionary BiologySpace ScienceEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedverifiable random functionsstrong contender duereliable node selectionpreliminary evaluations indicateoptimal consensus mechanismmitigates malicious behaviorenhancement strengthens trustefficient blockchain implementationsconsensus processes basedreputation integrated variantbeta reputation modelwork ), pbftpbft variant builtnovel pbft variantoffering improved reliabilityadvancements position brpbft )</ preputation metricsxlink ">suitable approachscale environmentspromising stateincluding powhealthcare applicationsfault toleranceensure securityeigentrust scoreart solutionanalyzed algorithms<div><p>In the rapidly evolving healthcare landscape, adopting blockchain technology requires an optimal consensus mechanism to ensure security, efficiency, reliability, and scalability. This paper examines various consensus methods, including PoW (Proof of Work), PBFT(Practical Byzantine Fault Tolerance), its variants, and node reputation management techniques such as the Beta Reputation Model and EigenTrust score, to determine the most suitable approach for healthcare applications. Among the analyzed algorithms, SBFT (Scalable Byzantine Fault Tolerance) emerges as a strong contender due to its fault tolerance and effectiveness in large-scale environments. Building on these insights, we introduce a light weight consensus BR-PBFT(Beta Reputation integreted PBFT), a novel PBFT variant that integrates a beta reputation scoring system and Verifiable random functions (VRF) for more reliable node selection. This enhancement strengthens trust in the network and mitigates malicious behavior by dynamically adjusting node selection and consensus processes based on reputation metrics. Preliminary evaluations indicate that our PBFT variant built on reputation significantly improves CPU consumption and memory efficiency, offering improved reliability, scalability, and performance. These advancements position BR-PBFT as a promising state-of-the-art solution for secure and efficient blockchain implementations in healthcare.</p></div>2025-11-11T18:32:47ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0336039.g007https://figshare.com/articles/figure/PBFT_variants_with_byzantine_nodes_/30592222CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/305922222025-11-11T18:32:47Z
spellingShingle PBFT variants with byzantine nodes.
Shamsudeen Sajna (22600978)
Biotechnology
Evolutionary Biology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
verifiable random functions
strong contender due
reliable node selection
preliminary evaluations indicate
optimal consensus mechanism
mitigates malicious behavior
enhancement strengthens trust
efficient blockchain implementations
consensus processes based
reputation integrated variant
beta reputation model
work ), pbft
pbft variant built
novel pbft variant
offering improved reliability
advancements position br
pbft )</ p
reputation metrics
xlink ">
suitable approach
scale environments
promising state
including pow
healthcare applications
fault tolerance
ensure security
eigentrust score
art solution
analyzed algorithms
status_str publishedVersion
title PBFT variants with byzantine nodes.
title_full PBFT variants with byzantine nodes.
title_fullStr PBFT variants with byzantine nodes.
title_full_unstemmed PBFT variants with byzantine nodes.
title_short PBFT variants with byzantine nodes.
title_sort PBFT variants with byzantine nodes.
topic Biotechnology
Evolutionary Biology
Space Science
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
verifiable random functions
strong contender due
reliable node selection
preliminary evaluations indicate
optimal consensus mechanism
mitigates malicious behavior
enhancement strengthens trust
efficient blockchain implementations
consensus processes based
reputation integrated variant
beta reputation model
work ), pbft
pbft variant built
novel pbft variant
offering improved reliability
advancements position br
pbft )</ p
reputation metrics
xlink ">
suitable approach
scale environments
promising state
including pow
healthcare applications
fault tolerance
ensure security
eigentrust score
art solution
analyzed algorithms